Triple

T20044653
Position Surface form Disambiguated ID Type / Status
Subject Pajęczno County E497525 entity
Predicate hasAdministrativeSeat P1474 FINISHED
Object Pajęczno NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pajęczno | Statement: [Pajęczno County, hasAdministrativeSeat, Pajęczno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pajęczno
Context triple: [Pajęczno County, hasAdministrativeSeat, Pajęczno]
  • A. Pajęczno chosen
    Pajęczno is a small town in central Poland that serves as an administrative, commercial, and local cultural center for the surrounding region.
  • B. Kobylnica
    Kobylnica is a village in northern Poland, located in the Pomeranian Voivodeship and serving as a local transport hub and administrative center for the surrounding rural area.
  • C. Tarłów
    Tarłów is a village and administrative center in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • D. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • E. Dzierzążnia
    Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.